17 October 2017


RapidMiner 8.0: Containerized Server Architecture and UI

There have been some major advancements to the RapidMiner platform since this article was originally published. We’re on a mission to make machine learning more accessible to anyone. For more details, check out our latest release.

At RapidMiner we have been hard at work, with support from an enthusiastic and diverse beta group, on improving user performance and enhancing the platform as we revamped RapidMiner Server (now known as RapidMiner AI Hub). The new architecture will provide improved reliability and horizontal scalability, but more importantly, become the cornerstone upon which we will expand the platform.

RapidMiner, the software platform built for data science teams, delivering cutting-edge machines learning and deep learning algorithms to more than 250,000 data scientists worldwide, is proud to announce the upcoming launch of RapidMiner Server 8.0. The redesigned platform introduces new functionalities that improve the production, deployment, and management of enterprise data science projects and sets the tone for future releases as we move towards a containerized server architecture.

RapidMiner 8.0 will bring new features that offer a significant increase in scalability and stability, enhanced resource management and improved job queuing and monitoring UI, including:

For more information, be sure to check the RapidMiner community. Over the next few days and weeks, we will be posting information about our new architecture, specific use cases, and public beta. Stay tuned!

As we mentioned above, there have been several major advancements to the RapidMiner platform since this post was originally published. Be sure to check out our latest release.

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